


'''simple docstring'''


from ...processing_utils import ProcessorMixin





class        lowercase__    (		_snake_case   ):





							'''simple docstring'''


							A_				: Dict       =    """WhisperFeatureExtractor"""
							A_				: Dict       =    """WhisperTokenizer"""






							def __init__(       self       ,   __snake_case       ,   __snake_case    ):
											super().__init__(__snake_case       ,   __snake_case    )
											_SCREAMING_SNAKE_CASE					:			Tuple							= self.feature_extractor
											_SCREAMING_SNAKE_CASE					:			Any							= False






							def UpperCAmelCase_      (       self       ,   __snake_case=None       ,   __snake_case=None       ,   __snake_case=True    ):
											return self.tokenizer.get_decoder_prompt_ids(task=__snake_case       ,   language=__snake_case       ,   no_timestamps=__snake_case    )






							def __call__(       self       ,   *__snake_case       ,   **__snake_case    ):
											# For backward compatibility
											if self._in_target_context_manager:
															return self.current_processor(*__snake_case       ,   **__snake_case    )

											_SCREAMING_SNAKE_CASE					:			List[Any]							= kwargs.pop("""audio"""       ,   __snake_case    )
											_SCREAMING_SNAKE_CASE					:			List[Any]							= kwargs.pop("""sampling_rate"""       ,   __snake_case    )
											_SCREAMING_SNAKE_CASE					:			Any							= kwargs.pop("""text"""       ,   __snake_case    )
											if len(__snake_case    ) > 0:
															_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= args[0]
															_SCREAMING_SNAKE_CASE					:			List[str]							= args[1:]

											if audio is None and text is None:
															raise ValueError("""You need to specify either an `audio` or `text` input to process."""    )

											if audio is not None:
															_SCREAMING_SNAKE_CASE					:			List[Any]							= self.feature_extractor(__snake_case       ,   *__snake_case       ,   sampling_rate=__snake_case       ,   **__snake_case    )
											if text is not None:
															_SCREAMING_SNAKE_CASE					:			Optional[Any]							= self.tokenizer(__snake_case       ,   **__snake_case    )

											if text is None:
															return inputs

											elif audio is None:
															return encodings
											else:
															_SCREAMING_SNAKE_CASE					:			int							= encodings["""input_ids"""]
															return inputs






							def UpperCAmelCase_      (       self       ,   *__snake_case       ,   **__snake_case    ):
											return self.tokenizer.batch_decode(*__snake_case       ,   **__snake_case    )






							def UpperCAmelCase_      (       self       ,   *__snake_case       ,   **__snake_case    ):
											return self.tokenizer.decode(*__snake_case       ,   **__snake_case    )






							def UpperCAmelCase_      (       self       ,   __snake_case       ,   __snake_case="np"    ):
											return self.tokenizer.get_prompt_ids(__snake_case       ,   return_tensors=__snake_case    )








'''simple docstring'''


import numpy as np





class        lowercase__    :





							'''simple docstring'''


							def __init__(       self    ):
											_SCREAMING_SNAKE_CASE					:			List[Any]							= (0, 0)
											_SCREAMING_SNAKE_CASE					:			List[str]							= None
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= 0
											_SCREAMING_SNAKE_CASE					:			List[str]							= 0
											_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= 0






							def __eq__(       self       ,   __snake_case    ):
											return self.position == cell.position






							def UpperCAmelCase_      (       self    ):
											print(self.position    )





class        lowercase__    :





							'''simple docstring'''


							def __init__(       self       ,   __snake_case=(5, 5)    ):
											_SCREAMING_SNAKE_CASE					:			str							= np.zeros(__snake_case    )
											_SCREAMING_SNAKE_CASE					:			Optional[Any]							= world_size[0]
											_SCREAMING_SNAKE_CASE					:			Tuple							= world_size[1]






							def UpperCAmelCase_      (       self    ):
											print(self.w    )






							def UpperCAmelCase_      (       self       ,   __snake_case    ):
											_SCREAMING_SNAKE_CASE					:			Optional[int]							= [
											    (-1, -1),
											    (-1, 0),
											    (-1, 1),
											    (0, -1),
											    (0, 1),
											    (1, -1),
											    (1, 0),
											    (1, 1),
											]
											_SCREAMING_SNAKE_CASE					:			Optional[int]							= cell.position[0]
											_SCREAMING_SNAKE_CASE					:			Optional[int]							= cell.position[1]
											_SCREAMING_SNAKE_CASE					:			Tuple							= []
											for n in neughbour_cord:
															_SCREAMING_SNAKE_CASE					:			Optional[Any]							= current_x + n[0]
															_SCREAMING_SNAKE_CASE					:			List[Any]							= current_y + n[1]
															if 0 <= x < self.world_x_limit and 0 <= y < self.world_y_limit:
																			_SCREAMING_SNAKE_CASE					:			Optional[int]							= Cell()
																			_SCREAMING_SNAKE_CASE					:			Union[str, Any]							= (x, y)
																			_SCREAMING_SNAKE_CASE					:			Dict							= cell
																			neighbours.append(__snake_case    )
											return neighbours







def      snake_case_  (    SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__				, SCREAMING_SNAKE_CASE__	):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE					:			Tuple							= []
				_SCREAMING_SNAKE_CASE					:			Optional[Any]							= []
				_open.append(SCREAMING_SNAKE_CASE__	)

				while _open:
								_SCREAMING_SNAKE_CASE					:			Any							= np.argmin([n.f for n in _open]	)
								_SCREAMING_SNAKE_CASE					:			List[Any]							= _open[min_f]
								_closed.append(_open.pop(SCREAMING_SNAKE_CASE__	)	)
								if current == goal:
												break
								for n in world.get_neigbours(SCREAMING_SNAKE_CASE__	):
												for c in _closed:
																if c == n:
																				continue
												_SCREAMING_SNAKE_CASE					:			Optional[int]							= current.g + 1
												_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE					:			List[Any]							= n.position
												_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE					:			List[str]							= goal.position
												_SCREAMING_SNAKE_CASE					:			Dict							= (ya - ya) ** 2 + (xa - xa) ** 2
												_SCREAMING_SNAKE_CASE					:			Any							= n.h + n.g

												for c in _open:
																if c == n and c.f < n.f:
																				continue
												_open.append(SCREAMING_SNAKE_CASE__	)
				_SCREAMING_SNAKE_CASE					:			Any							= []
				while current.parent is not None:
								path.append(current.position	)
								_SCREAMING_SNAKE_CASE					:			List[Any]							= current.parent
				path.append(current.position	)
				return path[::-1]


if __name__ == "__main__":
				UpperCAmelCase_						:  List[Any]				  =						Gridworld()
				# Start position and goal
				UpperCAmelCase_						:  Optional[Any]				  =						Cell()
				UpperCAmelCase_						:  Tuple				  =						(0, 0)
				UpperCAmelCase_						:  Optional[Any]				  =						Cell()
				UpperCAmelCase_						:  Tuple				  =						(4, 4)
				print(F"path from {start.position} to {goal.position}")
				UpperCAmelCase_						:  Union[str, Any]				  =						astar(world, start, goal)
				#   Just for visual reasons.
				for i in s:
								UpperCAmelCase_						:  Optional[int]				  =						1
				print(world.w)




